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About the Role

The Research & Data Science Team within People Analytics is seeking a Leader to manage a team of researchers and data scientists focused on generating actionable workforce insights through advanced analytics, research design, and data science. This role combines people leadership, stakeholder management, scientific rigor, and technical expertise to solve complex business and talent challenges across the organization.

Responsibilities

Lead, coach, and develop a team of data scientists and social science researchers with diverse technical and methodological backgrounds.
Provide ongoing performance coaching, career development, and mentoring to individual contributors.
Establish clear priorities and effectively manage team capacity, workload balancing, and project execution.
Foster a culture of intellectual curiosity, continuous learning, collaboration, and scientific rigor.
Build team capabilities in emerging analytics, machine learning, research methodologies, and qualitative data.
Partner with HR leaders and business stakeholders to identify, prioritize, and address strategic workforce questions.
Lead complex analytical initiatives spanning advanced statistical modeling, predictive analytics, machine learning, experimental and quasi-experimental design, program evaluation, forecasting, organizational research.
Translate complex technical findings into clear, actionable recommendations for senior leaders and executive audiences.
Ensure research and analytical work adheres to high standards of methodological rigor and reproducibility.
Supplement internal analyses with external research reviews, benchmarking, and evidence-based practices to inform recommendations and identify emerging workforce trends.
Lead the development of scalable analytical solutions using modern data science tools and technologies.
Partner with data engineering teams to operationalize and automate analytical workflows, models, and reporting processes.
Establish and maintain reusable analytical assets that improve efficiency and consistency across projects.
Support the transition of prototypes and research models into scalable production solutions within Databricks and enterprise data environments.
Drive best practices related to model governance, documentation, reproducibility, and quality assurance.
Identify opportunities to automate recurring analyses and enhance self-service analytics capabilities.

Requirements

8+ years of applied experience in data science, advanced analytics, quantitative research, economics, statistics, industrial-organizational psychology, or a related discipline.
Prior experience leading and developing technical professionals, including performance management, coaching, and workload prioritization.
Demonstrated experience leading complex analytical projects from problem formulation through implementation and communication of results.
Ability to communicate complex analytical concepts to both technical and non-technical audiences.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Skills

Python
R
SQL
Databricks
Snowflake

Location

Minneapolis, MN

Work Type

Onsite (three or more days per week)

Experience Level

8+ years of applied experience
Prior experience leading and developing technical professionals

Education Level

Master's degree or PhD in a quantitative field such as: Data Science, Statistics, Economics, Applied Mathematics, Computer Science, Operations Research, Industrial-Organizational Psychology, Quantitative Sociology, Behavioral Science, or other related analytical disciplines

Salary/Compensations

$133,365.00 - $156,900.00

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Incentive and recognition programs
Equity stock purchase
Pension

About the Company

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.
We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential.
A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.
Try new things, learn new skills and discover what you excel at—all from Day One.
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories.
The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.

Equal Opportunity

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.